جست‌وجوی استاد و پژوهشگر

Günter Neumannمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Artificial Intelligence
• +۷ مورد دیگر

Prof. Günter Neumann is a Professor of Computational Linguistics at Saarland University and a Research Fellow at the German Research Center for Artificial Intelligence (DFKI) . He has over 30 years of experience in research software development, with a focus on language technology , information extraction , and question answering systems . PhD in Computer Science (1994) and Venia Legendi in Computational Linguistics (2004) from Saarland University Visiting researcher at Stanford , CMU , and MIT His research spans computational linguistics , artificial intelligence , and their applications in defence , healthcare , and education . He leads projects like AtLaS (AI-based NLP for low-quality data in defence), PRECISE4Q (predictive modeling in stroke medicine), and iREAD (personalized reading apps). Recent publications focus on low-resource language retrieval , cross-lingual transfer , and graph-based reasoning in biomedical domains. He has participated in numerous program committees (ACL, AAAI, LREC) and contributed to advancements in multilingual question answering , knowledge graph reasoning , and medical text de-identification . He has collaborated with institutions like Fondazione Bruno Kessler , econob , and NICE Systems . Current tools developed with his team power semantic search services for Informationsdienst Wissenschaft and the Deutsche Allianz Meeresforschung portal.

Martin E. Müllerمشاهده پروفایل

استاد

• Algebraic Logic
• Modal Logic
• Relational Algebra
• +۷ مورد دیگر

Prof. Dr. Martin E. Müller is a Professor in the Department of Computer Science at Bonn-Rhein-Sieg University of Applied Sciences, specializing in the mathematical and theoretical foundations of informatics. His research bridges abstract algebraic structures with practical computational applications, particularly in knowledge representation and reasoning systems. Dr. Müller's primary research interests include Algebraic Logic , Modal Logic , Relational Algebra , Universal Algebra , and Logic Knowledge Discovery (also known as explainable machine learning). His work demonstrates how theoretical mathematical frameworks can provide robust foundations for practical computational problems, particularly in the areas of rough set theory, formal concept analysis, and inductive logic programming. He approaches machine learning through logical structures, emphasizing transparency and explainability in AI systems. Analysis of his publication record shows a consistent scholarly trajectory from 1994 through 2023, with increasing emphasis on applying formal logical methods to contemporary machine learning challenges. His work spans theoretical foundations of computing, relational methods in program semantics, and practical applications in user modeling and knowledge discovery. Recent publications demonstrate growing interest in making machine learning more interpretable through logical frameworks. Among his professional recognitions is the Seahorse award from 1975 . Dr. Müller serves as a reviewer for numerous academic journals and conferences and is an active member of several professional associations in computer science and logic. Dr. Müller has led significant research projects including PARIA (2004-2008), which developed the PACME architecture for concurrent processes; Rela-X (2010-2019), which implemented libraries for efficient relation calculus with the R-Lang programming language; and the ongoing COMPARE project (2024-) focusing on pairwise multidimensional comparisons for survey analysis. His current work with the 'Sets, Structures, Semantics' project (2018-) aims to create a comprehensive resource on discrete mathematics and logics. His research group maintains strong international collaborations, particularly with researchers in the relational and algebraic methods community, including notable figures like Tony Hoare, Peter Höfner, Peter Jipsen, and Bernhard Möller. The Rela-X project established a productive student working group environment that produced both theoretical insights and practical software tools for relational calculus visualization.

• Programming Languages
• Static Analysis
• Abstract Interpretation
• +۶ مورد دیگر

Florian Kübler is a researcher at Technische Universitat Darmstadt, Germany, specializing in Programming Languages and Static Analysis . He has contributed to major conferences including PLDI, ISSTA, ESEC/FSE, and SOAP, focusing on topics like abstract interpretation, call graph construction, and modular program analysis. His work addresses challenges in code optimization, soundness evaluation, and runtime reusability in static analysis frameworks. Research Interests: Florian's research spans Abstract Interpretation for static analysis Modularization techniques in program analysis Call graph algorithms for Java Parallelization of static analyses Intermediate representation design Compiler and toolchain optimization Conference Contributions: His publications highlight expertise in static analysis frameworks (OPAL, SootKeeper), semi-implicit parallelization, and systematic evaluation of analysis soundness. Recent work (2022) explores collaborative program analysis, while earlier studies (2018-2020) focus on lattice-based modularization and call graph algorithms.

Jan Burzlaffمشاهده پروفایل

پژوهشگر ارشد

• Holocaust Studies
• Jewish History
• Modern European History
• +۵ مورد دیگر

Jan Burzlaff is a Research Fellow (Post Doctoral Associate) in the Program of Jewish Studies at Cornell University, affiliated with the College of Arts and Sciences. He received his PhD in Jewish and Modern European History from Harvard University, where he was the William A. Ackman Fellow for Holocaust Studies. Previously, he held fellowships at Princeton University (Jane Eliza Procter Fellow) and École Normale Supérieure, Paris. Burzlaff's research investigates Holocaust survival strategies through social and transnational lenses, analyzing over 2,000 testimonies across 15 archives. His current book project, Help and Harm: A Social History of Nazi Europe , examines how Nazi persecution reconfigured social relations across occupied Europe. Key interdisciplinary interests include: Civilian responses to mass violence Everyday life under occupation Visual/spatial histories of trauma Comparative genocide studies His publications consistently explore Holocaust social dynamics through methodologies blending history and social sciences, with recent work emphasizing testimony analysis, microhistories of resistance, and comparative frameworks for mass violence. Awards and fellowships include: William A. Ackman Fellowship for Holocaust Studies (Harvard) Jane Eliza Procter Fellowship (Princeton) École Normale Supérieure Fellowship (Paris) At Cornell, he will teach JWST 3825: The Past and Future of Holocaust Survivor Testimonies (Spring 2025) and JWST 2467: Holocaust in History and Memory (Fall 2025).

Georgios Syrakoulisمشاهده پروفایل

استاد

• Complex Electronic Systems
• Memristors and Nanoelectronic Devices
• Cellular Automata
• +۵ مورد دیگر

Georgios Syrakoulis serves as a full Professor at Democritus University of Thrace's School of Engineering, Department of Electrical and Computer Engineering since 2018 (appointed faculty member since 2008). He concurrently holds a visiting researcher/Professor position at UWE, UK since 2014 and maintains active industry collaborations through prior founding roles at Ulysses O.E. (1999-2002). His educational background includes a Diploma (1996) and Ph.D. (2001) in Electrical and Computer Engineering from Democritus University of Thrace. His research spans complex electronic systems , with specialized focus on memristive nanodevices, cellular automata theory, neuromorphic computing architectures, and bioinspired computational models. His work bridges theoretical frameworks with practical implementations in nanoelectronics and unconventional computing paradigms. Recent publications reveal a concentrated research trajectory in memristor-based neuromorphic and quantum computing systems , with significant contributions to modeling dynamic behavior of TaO memristors, developing virtual physarum-based computing labs, and establishing foundational frameworks for memristive networks. His scholarly output demonstrates consistent emphasis on bridging nanoscale device physics with computational architecture design. Professor Syrakoulis has supervised 11 Ph.D. dissertations, 22 Master's theses, and 75 undergraduate projects, with several receiving departmental and international awards. He has coordinated over 30 research programs funded by the EU, GSRT, HFRI, and private entities, including Wave-Based Memristive Devices (2020-2022), 1D1M Crossbar Architecture (2019-2021), and Synthesis and Performance Optimization of a Switching Nano-Crossbar Computer (2015-2019). As leader of the Electronics Laboratory, he directs research in nanoelectronic devices, memristive circuits, and unconventional computing architectures. His team maintains active collaborations through initiatives like Greek-Russian bilateral projects on quantum computing and EU-funded NANOxCOMP. He has organized international conferences including NANOARCH 2019 and PACET 2017, while presenting as invited speaker at over 30 international venues in the past five years.

James N. Herronمشاهده پروفایل

دانشیار

• Biophysical Chemistry
• Structural Biology
• Antibody Engineering
• +۵ مورد دیگر

James N. Herron serves as Associate Professor of Molecular Pharmaceutics and Adjunct Associate Professor of Biomedical Engineering at the University of Utah, where he holds the leadership position of Vice Chair of Graduate Education for the Biological Chemistry Program. His academic appointments bridge pharmaceutical sciences and engineering disciplines within the university's research ecosystem. His educational foundation includes sequential degrees from the University of Illinois at Urbana-Champaign: B.S., M.S., and Ph.D. This comprehensive training established his expertise in biophysical systems and molecular interactions. Dr. Herron's research program centers on three interconnected domains: molecular characterization of antigen-antibody binding through X-ray crystallography and biophysical techniques; development of planar waveguide biosensors for rapid point-of-care clinical diagnostics; and engineering of targeted drug-delivery systems for autoimmune diseases including type I diabetes, lupus, and multiple sclerosis. His work integrates structural biology with translational applications to address critical gaps in immunodiagnostics and therapeutic delivery. Analysis of his 2010-2025 publications reveals evolving expertise from foundational biosensor patents toward contemporary vaccine immunology and pharmaceutical education research. The plague vaccine studies demonstrate sophisticated immune profiling, while biosensor innovations maintain consistent focus on clinical translation. His 2025 educational research marks strategic expansion into competency-based pharmacy education assessment. Scientific recognition: No specific awards or fellowships are documented in available materials As Vice Chair of Graduate Education, Dr. Herron directs the Biological Chemistry PhD program's academic framework while maintaining an active research laboratory. His patented technologies in biosensing and sequencing demonstrate commercial translation potential, though specific grant funding details remain unreported. The laboratory's multidisciplinary output spans basic biophysical characterization to preclinical vaccine studies. The research environment encompasses specialized facilities for protein crystallography, fluorescence spectroscopy, and waveguide biosensor development, supporting collaborative projects across immunology, pharmaceutical sciences, and biomedical engineering departments.

• macro-finance
• financial history
• international finance

Lukas Diebold is an Assistant Professor of Finance at Charles III University of Madrid (UC3M), conducting research at the intersection of macro-finance, financial history, and international finance with emphasis on historical financial systems and contemporary capital flow dynamics. His research program integrates three core domains: macro-finance analyzing global shock transmission to domestic economies, financial history focused on interwar-period systemic structures, and international finance examining cross-border capital movements. Recent work investigates causal links between foreign capital inflows and household credit expansion cycles, leveraging historical data to inform modern financial stability frameworks. Dr. Diebold's scholarly impact is reflected in his publication pipeline and awards: Shortlisted for the World Economic History Congress 2025 Dissertation Prize Recipient of the Joachim Herz Foundation's Add-on Fellowship for Interdisciplinary Economics Awarded UC3M's competitive New Researcher Grant (Jovenes Doctores) His funded research projects explore the interwar international financial system's parallels to modern emerging markets, combining archival historical analysis with quantitative macro-finance methodologies to address policy-relevant questions in global credit markets and financial stability.

Benjamin A. Valentinoمشاهده پروفایل

استاد

• Political Science
• International Relations
• Political Violence
• +۷ مورد دیگر

Benjamin A. Valentino is a Professor of Government and Chair of the Department of Government at Dartmouth College . He serves as Associate Dean for the Social Sciences and coordinates the War and Peace Studies Program at Dartmouth's Dickey Center for International Understanding. His research focuses on the causes, consequences, and prevention of violent conflict, American foreign policy, and security studies. Education: B.A. in Political Science from Stanford University Ph.D. in Political Science from Massachusetts Institute of Technology Valentino's work spans political violence, genocide prevention, and public opinion analysis. Key publications include studies on nuclear weapons ethics, humanitarian intervention debates, and military combat morality. His research appears in journals such as Foreign Affairs , American Political Science Review , and International Security . His 2019 article " Animals Are People Too " explores cross-national ethical comparisons, while 2017's " Revisiting Hiroshima in Iran " analyzes nuclear attitudes through historical parallels. Recent projects focus on early warning models for mass atrocities and public opinion trends regarding military force. Scientific Awards: Recipient of the Edgar S. Furniss Book Award for Final Solutions: Mass Killing and Genocide in the 20th Century Valentino co-directs Dartmouth's Government Department Honors Program and teaches courses on international relations, security studies, and genocide prevention. He collaborates on major initiatives like the Early Warning Project with the U.S. Holocaust Memorial Museum to predict mass atrocities before they occur.

Aniko Bodroghkozyمشاهده پروفایل

استاد

• American television history
• civil rights movement media
• 1960s social change movements
• +۴ مورد دیگر

Aniko Bodroghkozy is a Professor of Media Studies at the University of Virginia, where she has served as a founding faculty member of the Media Studies Program since 2001. She currently co-directs the Media Studies Distinguished Majors Program and teaches courses including American Broadcast News (MDST 3811) and Media and the Kennedy Era (MDST 4106), with office hours in Wilson Hall 221. Her academic background includes a Ph.D. in Communication Arts from the University of Wisconsin-Madison (1994), an M.A. in Film from Columbia University, and a B.A. with High Honors in Film Studies from Carleton University. She previously served as Interim Director of UVA Media Studies (2004-2006) and Director of Undergraduate Programs (2007-2012). Bodroghkozy specializes in American television history with emphases on civil rights movement media coverage, 1960s social change movements, and contemporary media-white supremacy dynamics. Her research examines how media frames historical events across eras, particularly analyzing connections between 1960s civil rights protests and the 2017 Charlottesville 'Unite the Right' rally. Recent work investigates television journalism's development through crisis events like the JFK assassination. Her scholarly publications span Cinema Journal, Screen, and Television and New Media, while public commentary appears in The Boston Globe's The Emancipator, NBC News, and Slate. Key publications include Making #Charlottesville: Media from Civil Rights to Unite The Right (2023), Equal Time: Television and the Civil Rights Movement (2012), and Groove Tube: Sixties Television and the Youth Rebellion (2001). She edited A Companion to the History of American Broadcasting (2018). Bodroghkozy's research demonstrates consistent thematic threads across decades: media's role in framing racial justice movements, the evolution of broadcast journalism during national crises, and comparative analysis of protest media coverage. Her work connects historical civil rights media strategies with contemporary white supremacist tactics, revealing persistent patterns in how visual culture shapes public understanding of race and resistance. As a public intellectual, she engages through interviews with Washington Post, WAMU, and USA Today, and co-hosts the 'Democracy in Danger' podcast discussing media-white supremacy connections. Her scholarship bridges academic rigor and public discourse, particularly regarding Charlottesville's legacy as a media event.

Louis Rossiمشاهده پروفایل

استاد

• Applied Mathematics
• Numerical Methods
• Computational Fluid Dynamics
• +۳ مورد دیگر

Louis Rossi is a Professor and the inaugural Dean of the University of Delaware Graduate College, affiliated with the Department of Mathematical Sciences in the College of Arts & Sciences. His research focuses on numerical methods, computational fluid dynamics, and swarm dynamics, with applications to fluid flows, ecological systems, wireless networks, and robotics. He has advised students such as Riu Fang, Zhenyu He, and Claudio Torres in these domains. Research interests span mathematical biology, environmental modeling, network protocols, and control systems. Notable projects include modeling predator-prey interactions, optimizing wireless sensor networks, and analyzing information transfer in swarms. Rossi has developed computational tools like BlobFlow for fluid simulations and contributed to slime mold-inspired routing algorithms for sensor networks. His educational efforts include organizing international study programs, such as a mathematical modeling trip to Melbourne, and enhancing foundational math courses. Rossi’s work bridges theoretical mathematics with practical applications, emphasizing interdisciplinary collaboration and computational innovation.

Anu G. Bourgeoisمشاهده پروفایل

دانشیار

• Parallel and Distributed Computing
• Wireless Networks
• Security and Privacy
• +۵ مورد دیگر

Anu G. Bourgeois is an Associate Professor in the Department of Computer Science at Georgia State University. She holds a Master’s and Ph.D. in Electrical and Computer Engineering from Louisiana State University (1997 and 2000, respectively). Her work is supported by NSF and CDC grants, and she is a Senior Member of the IEEE. Bourgeois’s research spans parallel computing, wireless networks, cybersecurity, and STEM education. Notable projects include the RISE program for Black women in computing and studies on UAV control via AI. Her recent work emphasizes educational equity, m-health interventions for opioid use, and fault-tolerant systems. Her 2025 publications highlight pathways for underrepresented students in computing and resilient data transmission frameworks. Earlier work includes contributions to cosmic ray detection and mobile health applications. Awards include recognition as an IEEE Senior Member. Bourgeois advocates for industry-aligned pedagogy, as seen in her virtual tutoring center projects and collaborations on cybersecurity education. She leads the Evidence-Based Cybersecurity Research Group and maintains a lab at grid.cs.gsu.edu/agb .

• Safety-critical real-time systems
• Autonomous systems verification
• Robotics
• +۳ مورد دیگر

Professor René Hexel currently serves as Dean (Learning & Teaching) and Pro Vice Chancellor (Sciences) at Griffith University, where he directs the Cyber-Physical Systems Lab. With over 85 peer-reviewed publications, he specializes in safety-critical real-time systems and autonomous system verification. 2022–present: Dean (Learning & Teaching), Griffith Sciences 2016–2022: Deputy Head of School (L&T), Griffith School of ICT 2007–2016: Director for Internationalisation, Griffith School of ICT 1999: PhD from Vienna University of Technology His research focuses on safety-critical systems , time-triggered protocols , and human-in-the-loop AI , with applications in aerospace, automotive, and healthcare robotics. Recent work explores humanoid robots for dementia care and verifiable executable models. Key article trends show expertise in: Formal verification techniques Robotics communication protocols Explainable machine learning Real-time system architectures Embedded system validation Human-robot interaction design Research grants include: Australian Space Manufacturing Network (2023–2025) SPASE STEM program grant (2022) Social media wellness monitoring (2019–2020) Internal Griffith grants (2003–2010) He has supervised 12 PhD candidates across topics including: Autonomous system verification Robotics security VR sickness mitigation Intelligent control systems Distributed real-time architectures Professor Hexel previously held academic positions at Vienna University of Technology and founded an IT consulting firm specializing in safety-critical systems.

Madhusudhan Govindarajuمشاهده پروفایل

استاد

• Cloud Computing
• Big Data Computing
• Distributed Systems
• +۴ مورد دیگر

Madhusudhan Govindaraju is a Professor in the School of Computing at Binghamton University and currently serves as the Vice Provost for International Education and Global Affairs (IEGA). He holds a PhD and MS from Indiana University. His research focuses on cloud computing, big data systems, distributed and high-performance computing, and web service frameworks. He has contributed to optimizing multi-threaded applications for multi-core processors and semantic web technologies for data reduction. Education: PhD in Computer Science, Indiana University MS in Computer Science, Indiana University His research interests span cloud resource management, distributed systems optimization, and energy-efficient computing. Notable contributions include frameworks for Kubernetes and Apache Mesos environments, as well as studies on power-aware scheduling and vertical scaling techniques. Key publications from 2019 to 2024 highlight advancements in fair resource allocation, GPU-accelerated data structures, and multi-cloud orchestration. His work emphasizes practical solutions for scalability, efficiency, and performance in distributed computing systems. Awards include the Chancellor's Award for Excellence in Teaching (2008-2009) and the Chancellor's Award for Excellence in Faculty Service (2016-2017). He has been affiliated with initiatives such as the Center for Technology for Advanced Scientific Component Software (TASCS) and contributed to science gateway integrations like SEAGrid. His advising and grants focus on advancing distributed computing technologies. He is actively involved in labs such as TASCS, exploring component-based software and middleware for scientific applications.

Darshan Sarojiniمشاهده پروفایل

استادیار

• Multidisciplinary Design, Analysis, and Optimization (MDAO)
• Aircraft Design
• Systems Engineering
• +۵ مورد دیگر

Darshan Sarojini is an Assistant Professor in the Aerospace and Ocean Engineering Department at Virginia Tech (College of Engineering). His research focuses on Multidisciplinary Design, Analysis, and Optimization (MDAO) , Certification-Driven Aircraft Design , and Systems Engineering , with applications in Urban Air Mobility (UAM) and electric vertical takeoff and landing (eVTOL) systems. He leads the Intelligent Design Optimization (IDOpt) Lab , which develops advanced methods for complex engineering systems design. Education: Ph.D. & M.S. in Aerospace Engineering, Georgia Institute of Technology M.S. in Computational Science and Engineering, Georgia Tech B.E. in Mechanical Engineering, B.M.S. College of Engineering, India Research expertise includes integrating Model-Based Systems Engineering (MBSE) with MDAO, high-performance computing (HPC) workflows, and structural optimization under dynamic loads. He has served as Technical Discipline Chair for the AIAA Modeling and Simulation Technologies committee and contributed to NASA ULI projects. Recent work emphasizes large-scale MDO of eVTOL concepts, certification-constrained design, and computational frameworks for aircraft systems. He has mentored students from the ENLACE program and collaborated with industry partners like Archer Aviation and Aurora Flight Sciences. Honors include Best Application Paper Awards at IFToMM 2015 and the 2015 National Conference on Machines and Mechanisms. His lab actively engages in student competitions (e.g., IndySCC) and promotes broader participation in HPC through workshops.

• Computer Engineering
• Parallel Computing
• Field-Programmable Gate Arrays (FPGAs)
• +۵ مورد دیگر

Zuofu Cheng is a Teaching Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. His research focuses on parallel computing, FPGA-based machine learning acceleration, GPU optimization, and innovative engineering pedagogy. He has contributed to curriculum development in computer engineering education and advanced mesh optimization algorithms for heterogeneous computing systems. Research interests include: Hardware acceleration for AI/ML systems Parallel algorithm design for multi-core architectures Interactive engineering education methodologies Real-time acoustic simulation engines Publications highlight trends in FPGA/GPU optimization, IoT applications of machine learning, and computational thinking integration in undergraduate curricula. Over 75 citations reflect notable impact in hardware-accelerated computing domains. Active collaborations include work with IEEE conferences and HPC training initiatives.